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Designing for Collective Intelligence and Community Resilience on Social Networks

Chamberlain, Jon and Turpin, Benjamin and Maged, Ali and Chatsiou, Aikaterini and O'Callaghan, Kirsty (2020) 'Designing for Collective Intelligence and Community Resilience on Social Networks.' Human Computation. ISSN 2330-8001 (In Press)

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Abstract

The popularity and ubiquity of social networks has enabled a new form of decentralised online collaboration: groups of users gathering around a central theme and working together to solve problems, complete tasks and develop social connections. Groups that display such ‘organic collaboration’ have been shown to solve tasks quicker and more accurately than other methods of crowdsourcing. They can also enable community action and resilience in response to different events, from casual requests to emergency response and crisis management. However, engaging such groups through formal agencies risks disconnect and disengagement by destabilising motivational structures. This paper explores case studies of this henomenon, reviews models of motivation that can help design systems to harness these groups and proposes a framework for lightweight engagement using existing platforms and social networks.

Item Type: Article
Uncontrolled Keywords: participation; society; modalities; collective intelligence; crisis management; social capital; resilience; local government; social networks
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 13 May 2020 13:32
Last Modified: 18 May 2020 21:15
URI: http://repository.essex.ac.uk/id/eprint/27515

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